code: def testBuilds(self):
      observation_spec = tensor_spec.BoundedTensorSpec(
          (8, 8, 3), tf.float32, 0, 1
      )
      time_step_spec = ts.time_step_spec(observation_spec)
      time_step = tensor_spec.sample_spec_nest(
          time_step_spec, outer_dims=(1,)
      )
  
      action_spec = [
          tensor_spec.BoundedTensorSpec((2,), tf.float32, 2, 3),
          tensor_spec.BoundedTensorSpec((3,), tf.int32, 0, 3),
      ]
  
      net = actor_distribution_network.ActorDistributionNetwork(
          observation_spec,
          action_spec,
          conv_layer_params=[(4, 2, 2)],
          fc_layer_params=(5,),
      )
  
      action_distributions, _ = net(
          time_step.observation, time_step.step_type, ()
      )
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.assertEqual(
          [1, 2], action_distributions[0].mode().shape.as_list()
      )
      self.assertEqual(
          [1, 3], action_distributions[1].mode().shape.as_list()
      )
  
file_path: agents/tf_agents/networks/actor_distribution_network_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.networks import actor_distribution_network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling the ActorDistributionNetworkTest obj's underlying member method code with example usage: obj.testBuilds() without return types